Comments (2)
The two have versions have the same gradient, so the choice does not influence the model training. The only difference is what number is logged as the loss so it's up to personal preference.
from dreamer.
Sure, that explains it! My bad. Thanks!
from dreamer.
Related Issues (20)
- Performance on sparse reward HOT 2
- A question about reward and observation pairing in wrapper HOT 2
- Tensorflow-probability version HOT 2
- Invalid one-hot action with Google Research football environment HOT 1
- lost of file 'dm_control' HOT 3
- difference between "CheetahRun-v0" on DM vs "half-cheetah-v2" on Mujuco HOT 1
- Spikes in Loss? HOT 2
- Runtime performance HOT 1
- Free nats over batch and time dimension? HOT 1
- What is this line for? HOT 1
- How to run on short episodes? HOT 2
- slow in atari tasks HOT 2
- my.hackmit.org Can't register HOT 1
- AttributeError: 'MirroredStrategy' object has no attribute 'experimental_run_v2' HOT 1
- the code is running without any results and output HOT 5
- freenats inconsistent with tf1 repo HOT 1
- Can't reproduce results in some environments HOT 3
- Provided scores don't match the results HOT 2
- KL clipping: before or after averaging? HOT 1
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from dreamer.